Green-synthesized ZnO nanoparticles for efficient atrazine detection: electrochemical and computational investigations

Developing sustainable and efficient methods for detecting environmental contaminants like atrazine (ATZ) is critical for environmental monitoring. This study uses a green approach to synthesise zinc oxide nanoparticles (g-ZnO NPs), employing an aqueous extract of <i>Haldina cordifolia</i> leaves as a natural reducing and stabilizing agent. The synthesized g-ZnO NPs were characterized using techniques such as XRD, TGA, SEM, UV-Vis spectroscopy, XPS, and FTIR to confirm their crystalline structure, morphology, optical properties, and functional groups. These nanoparticles demonstrated excellent sensitivity for the detection of ATZ, a widely used herbicide, <i>via</i> an electrochemical approach. The molecular docking simulations also predicted a favourable affinity of ZnO towards ATZ <i>via</i> hydrogen bonding. The sensor developed exhibited high selectivity for ATZ detection, achieving an LLOD of 0.41 μg mL<sup>-1</sup> within a linear range of 0.5 to 3 μM. Its practicality was validated in different types of water where the recovery rates ranged from 87.26% to 94.8% in STP water and from 90.52% to 95.66% in DI water, highlighting their reliability in real-world applications. In this study, <i>Haldina cordifolia</i> is being explored for the first time to synthesize g-ZnO NPs, which are then utilized for the electrochemical detection of ATZ. The biosynthetic approach not only provides an eco-friendly route for nanoparticle synthesis but also enhances the potential for rapid and reliable detection of ATZ in water and STP samples.

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Publication Details

Journal
Nanoscale Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5na00595g
Citations
3
Primary Topic
Electrochemical Analysis and Applications
Type
article
Field-Weighted Citation Impact
1.55
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article

Green-synthesized ZnO nanoparticles for efficient atrazine detection: electrochemical and computational investigations

Praveen C. Ramamurthy, Ashutosh Panchal, Nadeem Ahmad Khan, Joginder Singh
3 citations
Nanoscale Advances
Electrochemical Analysis and Applications
1.55
article

Green-synthesized ZnO nanoparticles for efficient atrazine detection: electrochemical and computational investigations

Praveen C. Ramamurthy, Ashutosh Panchal, Nadeem Ahmad Khan, Joginder Singh
article en
3 citations

Abstract

Developing sustainable and efficient methods for detecting environmental contaminants like atrazine (ATZ) is critical for environmental monitoring. This study uses a green approach to synthesise zinc oxide nanoparticles (g-ZnO NPs), employing an aqueous extract of <i>Haldina cordifolia</i> leaves as a natural reducing and stabilizing agent. The synthesized g-ZnO NPs were characterized using techniques such as XRD, TGA, SEM, UV-Vis spectroscopy, XPS, and FTIR to confirm their crystalline structure, morphology, optical properties, and functional groups. These nanoparticles demonstrated excellent sensitivity for the detection of ATZ, a widely used herbicide, <i>via</i> an electrochemical approach. The molecular docking simulations also predicted a favourable affinity of ZnO towards ATZ <i>via</i> hydrogen bonding. The sensor developed exhibited high selectivity for ATZ detection, achieving an LLOD of 0.41 μg mL<sup>-1</sup> within a linear range of 0.5 to 3 μM. Its practicality was validated in different types of water where the recovery rates ranged from 87.26% to 94.8% in STP water and from 90.52% to 95.66% in DI water, highlighting their reliability in real-world applications. In this study, <i>Haldina cordifolia</i> is being explored for the first time to synthesize g-ZnO NPs, which are then utilized for the electrochemical detection of ATZ. The biosynthetic approach not only provides an eco-friendly route for nanoparticle synthesis but also enhances the potential for rapid and reliable detection of ATZ in water and STP samples.

Nanoscale AdvancesVol. 7(22)
Beni-Suef University (EG), Indian Institute of Science Bangalore (IN), Nagaland University (IN), King Khalid University (SA)
Openalex Percentile: Top 17%
Electrochemical Analysis and Applications
1.55
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